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Large margin filtering for Signal Sequence Labeling

Remi Flamary, Benjamin Labbe, Alain Rakotomamonjy
2010 2010 IEEE International Conference on Acoustics, Speech and Signal Processing  
We propose in this paper to jointly learn the filter with the classifier leading to a large margin filtering for classification.  ...  Signal Sequence Labeling consists in predicting a sequence of labels given an observed sequence of samples.  ...  LARGE MARGIN FILTER Problem definition Our concern is a signal sequence labeling problem : we want to obtain a sequence of labels from a multichannel timesample of a signal or from multi-channel features  ... 
doi:10.1109/icassp.2010.5495281 dblp:conf/icassp/FlamaryLR10 fatcat:q5zvlnpyr5hjjccrbwalk3g6xq

Filtrage vaste marge pour l'étiquetage séquentiel à noyaux de signaux [article]

Rémi Flamary, Alain Rakotomamonjy
2010 arXiv   pre-print
We address in this paper the problem of multi-channel signal sequence labeling.  ...  This will lead to a large margin filtering that is adapted to the specificity of each channel (noise and time-lag).  ...  Conclusions We have proposed a framework for learning large-margin filtering for non-linear multi-channel sample labeling.  ... 
arXiv:1007.0824v1 fatcat:nsgdojo4pzdebm2rwya33qhsoe

Large Margin Filtering

Remi Flamary, Devis Tuia, Benjamin Labbe, Gustavo Camps-Valls, Alain Rakotomamonjy
2012 IEEE Transactions on Signal Processing  
Many signal processing problems are tackled by filtering the signal for subsequent feature classification or regression.  ...  In all the examples, large margin filtering shows competitive classification performances while offering the advantage of interpretability of the filtered channels retrieved.  ...  In this section, we present the proposed optimization problem for learning a large margin filtering as well as a general algorithm to solve general-purpose sequence labeling problems.  ... 
doi:10.1109/tsp.2011.2173685 fatcat:aw722wpxzjcftfn3wchgoiqwmu

Research on Robustness Tracking of Maneuvering Target for Bionic Robot

Wang Peng, Wu Jian, Zhang Yuan, Li Jixiang, Zhang Peng
2015 International Journal of Security and Its Applications  
The results given by tracing experiment indicate that the proposed detailed algorithm is effective for partial loss of maneuvering target.  ...  Base on design of FPGA image acquisition system, the scene noise is removed by adaptive wiener filtering.  ...  Wiener filter takes image signal and noise as random signal, and the optimality criteria filter will be designed based on the statistical random signal.  ... 
doi:10.14257/ijsia.2015.9.12.08 fatcat:ppunw53gczhedhhqt5biy4eweq

Learning Time Series Segmentation Models from Temporally Imprecise Labels

Roy Adams, Benjamin M. Marlin
2018 Conference on Uncertainty in Artificial Intelligence  
We show how exact marginal inference can be performed in the augmented model in polynomial time, enabling learning based on marginal likelihood maximization.  ...  This paper considers the problem of learning time series segmentation models when the labeled data are subject to temporal uncertainty or noise.  ...  Acknowledgments The authors would like to thank members of the MD2K Center (http://www.md2k.org) for helping to enable this research.  ... 
dblp:conf/uai/AdamsM18 fatcat:4ovfr7misjepfcnyosq2l3ltsu

Sequence estimation and channel equalization using forward decoding kernel machines

Chakrabartty, Cauwenberghs
2002 IEEE International Conference on Acoustics Speech and Signal Processing  
The method combines concepts from Markovian dynamics, large margin classifiers and reproducing kernels for robust sequence detection by learning inter-data dependencies.  ...  A MAP (maximum a posteriori) sequence estimator is obtained by regressing transition probabilities between symbols as a function of received data.  ...  This paper describes a new architecture, which we term for- ward decoding kernel machine (FDKM), that augments the ability of large margin classifiers to perform sequence decoding and to infer the sequential  ... 
doi:10.1109/icassp.2002.1005235 fatcat:i7doxmfnerbglmirgrv4qo423u

Sequence estimation and channel equalization using forward decoding kernel machines

Shantanu Chakrabartty, Gert Cauwenberghs
2002 IEEE International Conference on Acoustics Speech and Signal Processing  
The method combines concepts from Markovian dynamics, large margin classifiers and reproducing kernels for robust sequence detection by learning inter-data dependencies.  ...  A MAP (maximum a posteriori) sequence estimator is obtained by regressing transition probabilities between symbols as a function of received data.  ...  This paper describes a new architecture, which we term for- ward decoding kernel machine (FDKM), that augments the ability of large margin classifiers to perform sequence decoding and to infer the sequential  ... 
doi:10.1109/icassp.2002.5745197 dblp:conf/icassp/ChakrabarttyC02 fatcat:q7qyi7vfenecjms67racxo53w4

Recognizing household activities from human motion data using active learning and feature selection

Liyue Zhao, Xi Wang, Gita Sukthankar, Asim Smailagic
2010 Technology and Disability  
Classifying these activities can be difficult due to noisy sensor data, lack of labeled training samples for rare actions and large individual differences in activity execution.  ...  In this article, we present two techniques for improving the supervised classification of human activities from motion data: 1) an active learning framework to improve sample efficiency and 2) intelligent  ...  We thank Tran Truyen for providing code and valuable advice.  ... 
doi:10.3233/tad-2010-0284 fatcat:wmrx3r4hujdepdnfctnyzhveue

Comparison of online adaptive learning algorithms for myoelectric hand control

Yue Zhang, Zheng Wang, Zhuo Zhang, Yinfeng Fang, Honghai Liu
2016 2016 9th International Conference on Human System Interactions (HSI)  
This paper uncovers the online learning with large margin and confidence weight can always acquire a good property.  ...  However, the state of the art method is hardly adopted for clinical use because of signal interfered by shift, fatigue and user-unfriendly of retraining.  ...  It owns many properties, e.g. large margin, confidence, nonseparable and adaptive margin. Large margin classification is proved to be effective in multiclass classification [32] .  ... 
doi:10.1109/hsi.2016.7529611 dblp:conf/hsi/ZhangWZFL16 fatcat:vygovcsg2vd75dnssiyjer42vy

Bioorthogonal mRNA labeling at the poly(A) tail for imaging localization and dynamics in live zebrafish embryos

Kim J. Westerich, Karthik S. Chandrasekaran, Theresa Gross-Thebing, Nadine Kück, Erez Raz, Andrea Rentmeister
2020 Chemical Science  
Live imaging of mRNA in cells and organisms is important for understanding the dynamic aspects underlying its function. Ideally, labeling of mRNA should not alter its structure or function, nor...  ...  Petr Špaček, Esther-Maria Messerschmidt and Ines Sandbote for technical help, Lukasz Truszkowski for unpublished DNA constructs and Nina Knubel for assistance in graphic design.  ...  Please do not adjust margins mRNAs labeled with indicated DBCO-fluorophores or controls. (7.5% PA gel, 20 W, 2.5 h, rt; Filter 1: ≥575 nm, filter 2: ≥665 nm, filter 3: ≥510 nm).  ... 
doi:10.1039/c9sc05981d pmid:33623655 pmcid:PMC7879197 fatcat:74sipjmeaje3fbn4fskj7docmq

Label noise in subtype discrimination of class C G protein-coupled receptors: A systematic approach to the analysis of classification errors

Caroline König, Martha I Cárdenas, Jesús Giraldo, René Alquézar, Alfredo Vellido
2015 BMC Bioinformatics  
The proposed method enables a filtering approach to the label noise problem and might become a support tool for database curators in proteomics.  ...  Their supervised classification into different known subtypes, based on primary sequence data, is hampered by label noise.  ...  Figure 5 shows the single sequence with large error predicted as Od by the proposed mislabelling filtering approach.  ... 
doi:10.1186/s12859-015-0731-9 pmid:26415951 pmcid:PMC4587730 fatcat:hwl3dbv4gbfz7joforhued4w5i

Sequence detection in nonlinear channels: a convenient alternative to analog predistortion

A. Vannucci, R. Raheli
2002 IEEE Transactions on Communications  
Contrary to other solutions in the literature, in the proposed technique there is no need for a bank of matched filters, and the receiver front end reduces to a single lowpass filter.  ...  A new maximum-likelihood sequence detection receiver for spectrally efficient linear modulations on bandlimited bandpass nonlinear channels is proposed.  ...  The use of a suitable front-end analog filter and signal oversampling renders the sequence of samples a sufficient statistic for performing MLSD, through the use of a VP.  ... 
doi:10.1109/tcomm.2002.802567 fatcat:qyiieioclbggldjsnqdqpzt55u

Continuous body and hand gesture recognition for natural human-computer interaction

Yale Song, David Demirdjian, Randall Davis
2012 ACM transactions on interactive intelligent systems (TiiS)  
A novel multi-layered filtering technique with a temporal sliding window is developed to enable online sequence labeling and segmentation.  ...  We also report on our recent work on multimodal gesture recognition and deep-hierarchical sequence representation learning that achieve the state-ofthe-art performances on several real-world datasets.  ...  Given a test sequence x, the model computes a label sequence by solving y * = arg max y p(y|x) and obtains sequence boundaries by looking for discontinuities in the predicted label sequence.  ... 
doi:10.1145/2133366.2133371 fatcat:uhh4olyzgndgzgjgohv2zdvcd4

A robust peak detection method for RNA structure inference by high-throughput contact mapping

J. Kim, S. Yu, B. Shim, H. Kim, H. Min, E.-Y. Chung, R. Das, S. Yoon
2009 Bioinformatics  
Motivation: For high-throughput prediction of the helical arrangements of large RNA molecules, an innovative method termed multiplexed hydroxyl radical (·OH) cleavage analysis (MOHCA) has been proposed  ...  The first step exploits an ensemble of linear and nonlinear signal processing techniques to find true peak candidates.  ...  ACKNOWLEDGEMENT The authors would like to thank the anonymous reviewers of this manuscript for their helpful comments, Pan Du for providing information on CWT and Bumjoon Seo and Taehoon Lee for their  ... 
doi:10.1093/bioinformatics/btp110 pmid:19246511 fatcat:5faspnnjo5fmhlajkx54kcuczy

Multiplex messenger assay: simultaneous, quantitative measurement of expression of many genes in the context of T cell activation

K Bernard
1996 Nucleic Acids Research  
The hybridization signature approach, using colony filters and labeled complex probes, can provide high throughput measurement of gene activity.  ...  Using 4-fold spotting of colonies, imaging plate detection and various correction and normalization procedures, the technique is sensitive enough to quantify expression levels for sequences present at  ...  ACKNOWLEDGEMENTS We wish to thank Malek Djabali and Philippe Naquet (Centre d'Immunologie de Marseille-Luminy) for many helpful discussions and Charles Auffray (Genexpress, Généthon) for tag sequencing  ... 
doi:10.1093/nar/24.8.1435 pmid:8628675 pmcid:PMC145825 fatcat:vpilzjbyvvh5zptohrs4y2lrda
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